Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/63501
Title: Application of multi-objective optimization in the design of SMB in chemical process industry
Authors: Yu, W.
Hariprasad, J.S.
Zhang, Z.
Hidajat, K. 
Ray, A.K. 
Keywords: Genetic algorithm
Multi-objective optimization
Pareto set
Simulated moving bed
Varicol
Issue Date: Jan-2004
Source: Yu, W.,Hariprasad, J.S.,Zhang, Z.,Hidajat, K.,Ray, A.K. (2004-01). Application of multi-objective optimization in the design of SMB in chemical process industry. Journal of the Chinese Institute of Chemical Engineers 35 (1) : 141-148. ScholarBank@NUS Repository.
Abstract: A new optimization and design strategy, multi-objective optimization, is applied to improve the performance of Simulated Moving Bed (SMB) and its modification, the Varicol systems with or without reactions. The capabilities of the new approach are illustrated considering three different applications of SMB (and Varicol process), namely, chiral drug separation, production of high concentrated fructose syrup and synthesis of methyl acetate ester. The non-dominated sorting genetic algorithm (NSGA) is used in obtaining Pareto optimal solutions. It was found that significant improvement is possible for both SMB and Varicol process.
Source Title: Journal of the Chinese Institute of Chemical Engineers
URI: http://scholarbank.nus.edu.sg/handle/10635/63501
ISSN: 03681653
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

31
checked on Dec 15, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.